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Full Description
This volume presents multidisciplinary perspectives from leading scholars in the science of teams and intelligent tutoring systems (ITSs) on research needed to advance the state of the art of team ITSs. Our esteemed authors provide lessons learned to guide future research that will produce the technical capabilities needed to support team skills development. The introduction by Drs. Robert Sottilare and Eduardo Salas, who are leaders in the field of ITSs and team science, discusses the challenges and approaches to building ITSs for teams. The volume's first section introduces concepts for understanding team training such as team task analysis, team macrocognition, measurement strategies for dynamic processes, and effective team training methods to provide insights into ITS design. Section two presents recent advances in team assessment and feedback through unobtrusive assessments, modeling dynamic team interactions, neurodynamic scaffolding, and collaborative tutoring strategies. In the Volume's third section authors discuss lessons learned from past research, provide a discourse on the five disciplinary perspectives of engineering, learning sciences, team research, data analysis, and human computer interaction to create a framework for guiding team ITS developers, and examine the team ITS requirements for long term space travel. The final chapter summarizes and integrates lessons learned and provides recommendations for future research and development.
Contents
Chapter 1. Examining Challenges and Approaches to Building Intelligent Tutoring Systems for Teams; Robert A. Sottilare and Eduardo Salas Chapter 2. Team Task Analysis: Considerations and Guidance; C. Shawn Burke and Ryan Howell
Chapter 3. Macrocognition in Teams and Metacognition: Developing Instructional Strategies for Complex Collaborative Problem Solving; Olivia Newton, Travis J. Wiltshire, and Stephen M. Fiore
Chapter 4. Defining and Measuring Team Effectiveness in Dynamic Environments and Implications for Team Intelligent Tutoring Systems; Jamie C. Gorman, David A. Grimm, and Terri A. Dunbar
Chapter 5. Challenges and Propositions for Developing Effective Team Training with Adaptive Tutors; Joan H. Johnston, C. Shawn Burke, Laura A. Milham, William M. Ross, and Eduardo Salas
Chapter 6. Team Measurement: Unobtrusive Strategies for Intelligent Tutoring Systems; Arwen H. DeCostanza, Katherine R. Gamble, Armando X. Estrada, and Kara L. Orvis
Chapter 7. Modeling Dynamic Team Interactions for Intelligent Tutoring; Pravin Chopade, Michael Yudelson, Benjamin Deonovic, and Alina A. von Davier
Chapter 8. Towards Rapid and Predictive Neurodynamic Feedback and Scaffolding for Teams; Ron Stevens, Trysha L. Galloway, Ann Willemsen-Dunlap, and Anthony M. Avellino
Chapter 9. Building Intelligent Conversational Tutors and Mentors for Team Collaborative Problem Solving: Guidance from the 2015 Program for International Student Assessment; Arthur C. Graesser, Nia Dowell, Andrew J. Hampton, Anne M. Lippert, Haiying Li, and David Williamson Shaffer
Chapter 10. Intelligent Tutoring for Team Training: Lessons Learned from U.S. Military Research; Jared Freeman and Wayne Zachary
Chapter 11. Five Lenses on Team Tutor Challenges: A Multidisciplinary Approach; Stephen B. Gilbert, Michael Dorneich, Jamiahus Walton, and Eliot Winer
Chapter 12. Team Training is a Go: Team Training for Future Spaceflight; Lauren Blackwell Landon and William S. O'Keefe
Chapter 13. Considerations in the Design of a Team Tutor; Anne M. Sinatra and Robert A. Sottilare
